Výsledky vyhledávání - (( (statee OR stat) python code analysis ) OR ( (statneneed OR stateni) python code analysis ))*

Prediction of Positive Patient Health Questionnaire-2 Screening Using Area Deprivation Index in Primary Care.

Autoři: Duarte, Martha Salamanca, Mayra Gonzalez, Juan M. a další

Zdroj: Clinical Nursing Research. Jun2024, Vol. 33 Issue 5, p355-369. 15p.

Témata: *MENTAL depression risk factors, *RISK assessment, *PREDICTION models, *SOCIAL determinants of health, *RECEIVER operating characteristic curves, *QUESTIONNAIRES, *PRIMARY health care, *RETROSPECTIVE studies, *QUANTITATIVE research, *DESCRIPTIVE statistics, *NURSING interventions, *SURVEYS, *HEALTH behavior, *MEDICAL records, *ACQUISITION of data, *SOCIODEMOGRAPHIC factors, *MACHINE learning, *DATA analysis software, *ACCURACY, *COMPARATIVE studies, *SOCIAL classes, *SENSITIVITY & specificity (Statistics), *SOCIAL isolation, *ALGORITHMS, *REGRESSION analysis, *MENTAL depression, *EVALUATION

Geografický termín: FLORIDA

Primary data for BJC Carbonic anhydrase IX is a pH-stat that sets an acidic tumour extracellular pH in vivo

Autoři: Griffiths, JR Lee, Shen-Han McIntyre, Dominick John a další

Témata: Carbonic anhydrase IX, Extracellular pH, Intracellular pH, ISUCA, Magnetic Resonance Spectroscopy, MRS, pH-stat, Tumour pH, Dataset

URL: https://www.repository.cam.ac.uk/handle/1810/361916
https://doi.org/10.17863/CAM.26029
https://doi.org/10.1038/s41416-018-0216-5
https://www.repository.cam.ac.uk/handle/1810/287141
https://doi.org/10.1038/s41416-018-0216-5
https://www.repository.cam.ac.uk/handle/1810/287141

Coherent-Hierarchical Computing: From Mathematical Foundations to Experimental Realization

Autoři: Zeksel, Sergey Borisovich

TRIQS/SOM 2.0: Implementation of the stochastic optimization with consistent constraints for analytic continuation.

Autoři: Krivenko, Igor Mishchenko, Andrey S.

Zdroj: Computer Physics Communications. Nov2022, Vol. 280, pN.PAG-N.PAG. 1p.

Témata: *PYTHON programming language, *GREEN'S functions, *MAXIMUM entropy method, *COVARIANCE matrices, *STATISTICAL ensembles, *PROGRAMMING languages, *REGULARIZATION parameter

Transverse charge density and the radius of the proton

Autoři: Gramolin, Alexander V. Russell, Rebecca L.

Témata: Nuclear Experiment, High Energy Physics - Experiment, High Energy Physics - Phenomenology, Nuclear Theory, text

URL: http://arxiv.org/abs/2102.13022

NDL-v2.0: A new version of the numerical differentiation library for parallel architectures.

Autoři: Hadjidoukas, P.E. Angelikopoulos, P. Voglis, C. a další

Zdroj: Computer Physics Communications. Jul2014, Vol. 185 Issue 7, p2217-2219. 3p.

Témata: *NUMERICAL differentiation, *PARALLEL processing, *MULTICORE processors, *DISTRIBUTED shared memory, *PARAMETER estimation, *PYTHON programming language, *CODING theory

Generation of Scale-Free Assortative Networks via Newman Rewiring for Simulation of Diffusion Phenomena

Autoři: Laura Di Lucchio Giovanni Modanese

Zdroj: Stats, Vol 7, Iss 1, Pp 220-234 (2024)

Témata: scale-free networks, assortative networks, network rewiring, agent-based models, Bass innovation diffusion model, Statistics, HA1-4737

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2571-905X/7/1/14; https://doaj.org/toc/2571-905X

Přístupová URL adresa: https://doaj.org/article/1ed58599ad2b446e8fba7bbd67fd64e7

Inventory Analytics

Autoři: Roberto Rossi

Resource Type: eBook.

Témata: Inventories--Mathematical models, Materials management, Inventory control

Categories: BUSINESS & ECONOMICS / Economics / Theory, MATHEMATICS / Probability & Statistics / Stochastic Processes

Experimental Design for Data Science and Engineering

Autoři: V. Roshan Joseph

Resource Type: eBook.

Categories: MATHEMATICS / Probability & Statistics / General

Architecture of Advanced Numerical Analysis Systems

Autoři: Liang Wang Jianxin Zhao

Resource Type: eBook.

Témata: OCaml (Computer program language), Science--Data processing, Numerical analysis--Data processing

Categories: COMPUTERS / Languages / General, COMPUTERS / General, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Computer Science, COMPUTERS / Database Administration & Management

Manifold Learning

Autoři: David Ryckelynck Fabien Casenave Nissrine Akkari

Resource Type: eBook.

Témata: Continuum mechanics, Deep learning (Machine learning), Structural analysis (Engineering)

Categories: MATHEMATICS / Probability & Statistics / General, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Mathematical & Statistical Software, SCIENCE / Physics / Mathematical & Computational, SCIENCE / Mechanics / Thermodynamics, TECHNOLOGY & ENGINEERING / Industrial Engineering

Robust Statistics Through the Monitoring Approach

Autoři: Anthony C. Atkinson Marco Riani Aldo Corbellini a další

Resource Type: eBook.

Categories: MATHEMATICS / Probability & Statistics / General

Tools and Algorithms for the Construction and Analysis of Systems

Autoři: Arie Gurfinkel Marijn Heule

Resource Type: eBook.

Témata: System design--Congresses, Computer software--Verification--Congresses, System analysis--Congresses

Categories: COMPUTERS / Computer Science, COMPUTERS / Networking / General, COMPUTERS / Software Development & Engineering / General, COMPUTERS / Hardware / General, COMPUTERS / Computer Simulation

A semi-analytical solution to the maximum likelihood fit of Poisson data to a linear model using the Cash statistic

Autoři: Bonamente, Massimiliano Spence, David

Témata: Statistics - Methodology, Astrophysics - Instrumentation and Methods for Astrophysics, text

URL: http://arxiv.org/abs/2009.07915

Classical and Bayesian Statistical Approaches in Infectious Disease Data Analysis

Autoři: Noor Muhammad Khan Ileana Baldi Maria Vittoria Chiaruttini a další

Resource Type: eBook.

Categories: MATHEMATICS / Probability & Statistics / General

Learning Analytics Methods and Tutorials

Autoři: Mohammed Saqr Sonsoles López-Pernas

Resource Type: eBook.

Témata: Data mining, Education--Data processing, R (Computer program language), Educational statistics

Categories: EDUCATION / Computers & Technology, COMPUTERS / Business & Productivity Software / General, COMPUTERS / Data Science / Data Analytics, EDUCATION / General, MATHEMATICS / Probability & Statistics / General

Multivariate Statistical Machine Learning Methods for Genomic Prediction

Autoři: Osval Antonio Montesinos López Abelardo Montesinos López José Crossa

Resource Type: eBook.

Témata: Genomics, Agriculture, Biometry, Plant genetics--Statistical methods, Multivariate analysis--Data processing, Machine learning

Categories: TECHNOLOGY & ENGINEERING / Agriculture / General, COMPUTERS / Data Science / Bioinformatics, MEDICAL / Biostatistics, SCIENCE / Life Sciences / Botany, SCIENCE / Life Sciences / Genetics & Genomics

Tools and Algorithms for the Construction and Analysis of Systems

Autoři: Dana Fisman Grigore Rosu

Resource Type: eBook.

Témata: Computer software--Verification--Congresses, System design--Congresses, System analysis--Congresses

Categories: COMPUTERS / Computer Science, COMPUTERS / Software Development & Engineering / General, COMPUTERS / Hardware / General, COMPUTERS / Computer Simulation

Proceedings of the 2022 International Conference on Mathematical Statistics and Economic Analysis (MSEA 2022)

Autoři: Gaikar Vilas Bhau Yuriy Shvets Hrushikesh Mallick

Resource Type: eBook.

Témata: Econometrics--Congresses, Mathematical statistics--Congresses

Categories: MATHEMATICS / Probability & Statistics / General, BUSINESS & ECONOMICS / General, BUSINESS & ECONOMICS / Economics / Microeconomics, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Business & Productivity Software / General, COMPUTERS / Computer Simulation

Standardisierte Inhaltsanalyse in der Kommunikationswissenschaft – Standardized Content Analysis in Communication Research

Autoři: Franziska Oehmer-Pedrazzi Sabrina Heike Kessler Edda Humprecht a další

Resource Type: eBook.

Témata: Communication--Methodology

Categories: SOCIAL SCIENCE / Sociology / General, LANGUAGE ARTS & DISCIPLINES / Communication Studies, POLITICAL SCIENCE / General, SOCIAL SCIENCE / Media Studies